# Director, Machine Learning Engineering **Company**: Chime **Location**: San Francisco, CA **Work arrangement**: hybrid **Experience**: executive **Job type**: full-time **Salary**: $269,000-$373,000 USD **Category**: Data Science **Industry**: Finance **Apply**: https://job-boards.greenhouse.io/chime/jobs/8765680002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/job/director-machine-learning-engineering-dfecc09b-0d6/ ## Description Chime's Data Science & Machine Learning team powers decisions across the company, from how we protect members to how we build products for them. We're looking for a Director to lead that team through its biggest shift yet: moving from traditional models to a modern, AI-driven approach built on transformers and foundation models. In this role, you can expect to: - Lead and grow Chime's ML organization, managing managers and staff-level engineers across all of Chime's ML work. - Set the vision and roadmap for moving Chime's models from traditional approaches to transformer- and foundation-model-based systems. - Coach your managers to build strong, high-performing teams, and raise the technical bar across the practice. - Shape the architecture of Chime's ML platform, including how we train, fine-tune, serve and scale models on a modern GPU-based stack. - Define what good ML looks like at Chime: standards for model development, evaluation, deployment and monitoring. - Partner with product, engineering, risk and business leaders to turn ML into measurable impact for members. - Make the call on when to build, buy or fine-tune, and explain the trade-offs clearly to executives. To thrive in this role, you have: - Deep machine learning expertise, with a well-formed point of view on transformer and foundation models and where they do (and don't) beat traditional approaches. - Familiarity with GPUs and the modern ML stack, from training and fine-tuning to serving models in production at scale. - Experience managing managers and staff-level ICs, with the technical credibility to earn their trust. - A track record of building or transforming an ML practice: hiring, setting standards and growing leaders. - Experience setting a multi-year ML strategy and turning it into shipped results. - Clear communication with executives and cross-functional partners; you can make complex ML trade-offs easy to follow. - Bonus: experience applying ML in fintech or another regulated industry. The base salary offered for this role and level of experience is $269,000-$373,000 USD. Full-time employees may also be eligible for bonus(es), competitive equity, and benefits. We offer comprehensive health, financial, and wellbeing benefits, a generous vacation policy, and company-wide paid days off. For more fresh new jobs, check out [yubhub.co](https://yubhub.co/). ## Skills ### Required - machine learning - transformer models - foundation models - GPUs - ML stack - leadership - communication ### Nice to have - fintech - regulated industry --- Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/chime/jobs/8765680002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)